Speech Enhancement Using Multiple Bases Realizations

9308925 DeBrunner这个项目的目标是研究使用数字化语音信号的多基表示法来提高语音增强和语音合成系统的性能。过去已经表明，对于语音压缩系统，同时使用多个基集比使用单个基集提供了更好的能量填充。这项研究将以改善数字助听器的性能为总体目标，确定使用多个基分解来确定重建语音的质量。将所提出的技术与基于正弦模型的算法和传统的噪声抑制和消除技术进行比较。这项研究具有重要的意义，因为它有可能推动语音增强、语音合成和语音识别领域的发展，并提供可用于设计新的数字助听器的有用结果。***

9308925 DeBrunner The goal of this project is to investigate the use of multiple bases representations of digitized speech signals to improve the performance of speech enhancement and speech syntheses systems. In the past it has been shown that the use of several basis sets simultaneously provides better energy packing than a single basis set for speech compression systems. This research will determine the quality of reconstructed speech using multiple bases decompositions with the overall objective of improving the performance of digital hearing aids. The proposed technique will be compared to sinusoidal model based algorithms and traditional noise suppression and cancellation techniques. This research is important since it has the potential to advance the fields of speech enhancement, speech synthesis and speech recognition as well as provide useful results that could be used to design new digital hearing aids. ***